Learn IT - Books tags paradigms

Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras

Packt Publishing, 2018

Explore TensorFlow's capabilities to perform efficient deep learning on images

Key Features

Discover image processing for machine vision

Build an effective image classification system using the power of CNNs

Leverage TensorFlow's capabilities to...

R Deep Learning Projects: Master the techniques to design and develop neural network models in R

Packt Publishing, 2018

5 real-world projects to help you master deep learning concepts

Key Features

Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more

Get to grips with R's impressive range of...

Java Projects - Fundamentals of Java 18.9 - Second Edition: Practical projects to get you up and running with Java 18.9

Packt Publishing, 2018

Learn how to build scalable, resilient, and effective applications in Java that suit your software requirements.

Key Features

Explore advanced technologies that Java 11 delivers such as web programming and parallel computing

Discover modern programming paradigms such as...

Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Packt Publishing, 2018

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks

Key Features

Understand the foundations of meta learning algorithms

Explore practical examples to explore...

Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Packt Publishing, 2018

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

Learn the fundamentals of Python programming with interactive projects

Apply Python to data...

Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts

Packt Publishing, 2018

A comprehensive guide to exploring software architecture concepts and implementing best practices

Key Features

Enhance your skills to grow your career as a software architect

Design efficient software architectures using patterns and best practices

Learn...

Agile Software Engineering (Undergraduate Topics in Computer Science)

Springer, 2008

This textbook presents the current issues in software development methods. Special emphasis is placed on agile software development, being one of the mainstream paradigms for the management of software projects. Features and topics: (1) Examines the Agile manifesto and its implications. (2) Discusses the delivery of software projects on time and...

Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science)

CRC Press, 2005

The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications...

Art of Computer Programming, Volume 2: Seminumerical Algorithms (3rd Edition)

Addison Wesley, 1997

The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.

–Byte, September 1995

...

Spatio-temporal Networks: Modeling and Algorithms (SpringerBriefs in Computer Science)

Springer, 2012

Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must...

Inter-cooperative Collective Intelligence: Techniques and Applications (Studies in Computational Intelligence)

Springer, 2013

This book covers the latest advances in the rapid growing field of inter-cooperative collective intelligence aiming the integration and cooperation of various computational resources, networks and intelligent processing paradigms to collectively build intelligence and advanced decision support and interfaces for end-users. The book brings a...

Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence)

Springer, 2012

The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters,...

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